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Natural language processing

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Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.

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rasa

RasaHQ / rasa

Star 15.1k

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

nlp bot machine-learning natural-language-processing bots botkit chatbot bot-framework nlu spacy mitie chatbots machine-learning-library wit rasa conversational-agents conversational-bots chatbots-framework conversational-ai conversation-driven-development
  • Updated Nov 30, 2022
  • Python
PaddleNLP

PaddlePaddle / PaddleNLP

Star 6.7k

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

nlp search-engine sentiment-analysis transformers information-extraction transformer question-answering seq2seq image-generation pretrained-models embedding bert semantic-analysis ernie neural-search uie document-intelligence paddlenlp aigc stable-diffusion
  • Updated Nov 30, 2022
  • Python
haystack

deepset-ai / haystack

Star 6.1k

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

python nlp search-engine elasticsearch machine-learning natural-language-processing information-retrieval ai transformers pytorch question-answering summarization transfer-learning language-model semantic-search squad bert dpr neural-search
  • Updated Nov 29, 2022
  • Python

tangyudi / Ai-Learn

Star 5.6k

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Jun 23, 2022

NLP-LOVE / Introduction-NLP

Star 1.8k

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

nlp ai deep-learning mechine-learing
  • Updated Jan 5, 2022
  • Python

curiousily / Getting-Things-Done-with-Pytorch

Sponsor
Star 1.8k

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection
  • Updated Jun 14, 2021
  • Jupyter Notebook
argilla

argilla-io / argilla

Star 1.4k

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

python nlp data-science machine-learning natural-language-processing text-classification artificial-intelligence weak-supervision spacy knowledge-graph dataops developer-tools hacktoberfest active-learning annotation-tool text-annotation weakly-supervised-learning human-in-the-loop mlops text-labeling
  • Updated Nov 29, 2022
  • Python
sparseml

neuralmagic / sparseml

Star 1.4k

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

nlp sparsity tensorflow keras pytorch deep-learning-algorithms image-classification deep-learning-library pruning object-detection automl computer-vision-algorithms onnx deep-learning-models sparsification pruning-algorithms smaller-models model-sparsification sparsification-recipes recipe-driven-approaches
  • Updated Nov 29, 2022
  • Python

yongzhuo / nlp_xiaojiang

Star 1.4k

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

nlp text-classification distance chatbot chinese feature bert data-augmentation enhance text-augment xlnet
  • Updated Sep 23, 2021
  • Python

yongzhuo / Keras-TextClassification

Star 1.4k

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

nlp text-classification keras embeddings transformer fasttext albert bert capsule han rcnn dcnn textcnn crnn dpcnn vdcnn charcnn xlnet keras-textclassification leam
  • Updated Jun 22, 2022
  • Python

microsoft / Recognizers-Text

Star 1.2k

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text

nlp datetime parser-library ner hacktoberfest timex entity-extraction nlp-entity-extraction numex
  • Updated Nov 29, 2022
  • C#

BDBC-KG-NLP / QA-Survey-CN

Star 1.2k

北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

nlp qa survey vqa question-answering cqa kbqa qa-survey tqa
  • Updated Jul 1, 2022

neomatrix369 / awesome-ai-ml-dl

Sponsor
Star 1.1k

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

nlp docker data machine-learning natural-language-processing ai deep-learning time-series algorithms mathematica ml artificial-intelligence neural-networks data-generation graalvm graal intelligent-systems dl machine-intelligence cloud-devops
  • Updated Aug 18, 2022
  • Jupyter Notebook
refinery

code-kern-ai / refinery

Star 1k

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

python nlp data-science machine-learning natural-language-processing deep-learning text-classification annotations transformers artificial-intelligence spacy supervised-learning labeling active-learning text-annotation human-in-the-loop labeling-tool data-labeling neural-search data-centric-ai
  • Updated Nov 21, 2022
  • Python

lionsoul2014 / jcseg

Star 830

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

java nlp natural-language-processing chinese-nlp chinese-text-segmentation nlp-keywords-extraction pos-tagging solr-plugin chinese-word-segmentation jcseg mmseg lucene-analyzer elasticsearch-analyzer keywords-extraction lucene-tokenizer jcseg-analyzer opensearch-analyzer opensearch-tokenizer elasticsearch-tokenizer
  • Updated Oct 5, 2022
  • Java

yoshitomo-matsubara / torchdistill

Star 782

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

nlp natural-language-processing glue pytorch transformer imagenet image-classification coco object-detection semantic-segmentation knowledge-distillation cifar10 pascal-voc cifar100 google-colab colab-notebook
  • Updated Nov 9, 2022
  • Python
obsei

obsei / obsei

Star 764

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

python nlp workflow natural-language-processing sentiment-analysis text-classification customer-support text-analysis artificial-intelligence text-analytics social-network-analysis workflow-automation low-code anonymization issue-tracking-system process-automation customer-engagement lowcode business-process-automation social-listening
  • Updated Nov 19, 2022
  • Python

ibrahimjelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

Star 636

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

nlp machine-learning deep-learning naive-bayes coursera neural-networks logistic-regression attention-mechanism neural specialization probabilistic-models encoder-decoder sequence-models deeplearning-ai
  • Updated Jun 28, 2021
  • Jupyter Notebook

cbaziotis / ekphrasis

Star 592

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

nlp tokenizer text-processing semeval nlp-library word-segmentation spelling-correction tokenization text-segmentation spell-corrector word-normalization
  • Updated Sep 29, 2022
  • Python

tstanislawek / awesome-document-understanding

Star 562

A curated list of resources for Document Understanding (DU) topic

nlp pdf machine-learning natural-language-processing awesome ocr deep-learning information-extraction awesome-list pdf-documents document-analysis rpa unstructured-data robotic-process-automation document-layout-analysis language-understanding document-understanding key-information-extraction document-intelligence intelligent-processing
  • Updated Nov 21, 2022

ashishpatel26 / Treasure-of-Transformers

Star 561

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

python nlp natural-language-processing awesome tensorflow pytorch transformer speech-recognition seq2seq pretrained-models language-models natural-language-generation nlp-library language-model bert natural-language-understanding jax pytorch-transformers model-hub
  • Updated Oct 29, 2022
  • Jupyter Notebook

yongzhuo / Macropodus

Star 543

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

nlp crf similarity text-summarization keyword ner albert cws newword calulator macropodus segnment
  • Updated Nov 21, 2022
  • Python

unitaryai / detoxify

Star 503

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

nlp kaggle-competition sentence-classification bert hatespeech hate-speech toxicity toxic-comment-classification toxic-comments bert-model hate-speech-detection huggingface pytorch-lightning toxicity-classification huggingface-transformers
  • Updated Nov 15, 2022
  • Python

CogComp / cogcomp-nlp

Star 456

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

nlp natural-language-processing data-mining big-data tokenizer transliteration similarity named-entity-recognition pos lemmatizer ner pos-tagging dependency-parsing lemmatization relation-extraction natural-language-understanding cogcomp parts-of-speech-tagging
  • Updated Oct 4, 2022
  • Java

proycon / pynlpl

Star 454

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

python nlp machine-learning natural-language-processing library linguistics computational-linguistics text-processing nlp-library search-algorithms evaluation-metrics folia language-modelling
  • Updated Mar 13, 2019
  • Python
OCTIS

MIND-Lab / OCTIS

Star 452

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

nlp natural-language-processing hyperparameter-optimization topic-modeling nlp-library bayesian-optimization hyperparameter-tuning latent-dirichlet-allocation evaluation-metrics neural-topic-models latent-semantic-analysis topic-models hyperparameter-search non-negative-matrix-factorization nlproc
  • Updated Nov 20, 2022
  • Python
ArticutAPI

Droidtown / ArticutAPI

Star 374

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

nlp natural-language-processing nlu artificial-intelligence cws pos-tagging part-of-speech-tagger pos-tagger natural-language-understanding part-of-speech-embdding
  • Updated Oct 31, 2022
  • Python

kunalj101 / Data-Science-Hacks

Star 345

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

python nlp data-science data machine-learning computer-vision numpy pandas-dataframe pandas data-visualization python3 dataset ipynb data-analysis tips-and-tricks hacks nlp-machine-learning image-augmentation pandas-tutorial pandas-python
  • Updated Nov 9, 2022
  • Jupyter Notebook

interpretml / interpret-text

Star 340

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

python nlp npm text-classification jupyter-notebook azure-sdk data-scientists data-analyst linear-models nlp-models visualization-dashboard explainer black-box-explanations local-explanations text-interpretability nlp-scenarios glass-box-explainers grey-box-explainers microsoft-azureml
  • Updated Nov 19, 2022
  • Python

jasoncao11 / nlp-notebook

Star 325

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

nlp natural-language-processing text-classification pytorch seq2seq glove skip-gram bert textcnn electra bilstm-crf-model textrcnn fasttext-embeddings bilstm-attention bert-chinese gpt2 bert-ner transformer-pytorch textrcnn-bert distill-bert
  • Updated Aug 10, 2022
  • Python

airyhq / airy

Star 316

💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors

nlp bot kubernetes natural-language-processing streaming opensource cloud kafka bots nlu kafka-streams conversational-bots conversational-ai airy ingestion-platform
  • Updated Nov 29, 2022
  • Java
Issue-Label-Bot

machine-learning-apps / Issue-Label-Bot

Star 315

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

nlp bootstrap kubernetes bigquery flask data-science machine-learning deep-learning tensorflow keras github-app machine-learning-tutorials production-machine-learning gcp-cloud github-api-v3 end-to-end-application gharchive
  • Updated Mar 14, 2022
  • SCSS
pyss3

sergioburdisso / pyss3

Star 280

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

nlp machine-learning natural-language-processing text-mining data-mining text-classification machine-learning-algorithms artificial-intelligence document-classification sentence-classification interpretability multilabel-classification explainable-artificial-intelligence interpretable-ml xai interpretable-machine-learning document-categorization early-classification text-labeling ss3-classifier
  • Updated Apr 4, 2022
  • Python

zhongkaifu / RNNSharp

Star 280

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

nlp c-sharp machine-learning deep-learning dotnet crf recurrent-neural-networks lstm rnn sequence-labeling rnn-model
  • Updated Aug 3, 2020
  • C#

xkzhangsan / xk-time

Star 250

xk-time 是时间转换，时间计算，时间格式化，时间解析，日历，时间cron表达式和时间NLP等的工具，使用Java8（JSR-310），线程安全，简单易用，多达70几种常用日期格式化模板，支持Java8时间类和Date，轻量级，无第三方依赖。

java nlp time formatter cron date calendar dateutil jsr-310 localdate localdatetime timeconvertion cron-java8 datetimeformatter-formatter
  • Updated Jul 30, 2022
  • Java

cbaziotis / neat-vision

Star 242

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

visualization nlp natural-language-processing vuejs deep-learning attention deep-learning-library attention-mechanism text-visualization attention-mechanisms deep-learning-visualization self-attentive-rnn self-attention attention-visualization attention-scores
  • Updated May 4, 2018
  • Vue

neomatrix369 / nlp_profiler

Sponsor
Star 222

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

nlp natural-language-processing text-mining jupyter profiler profiling nlp-parsing nlp-library hacktoberfest nlp-machine-learning nlp-keywords-extraction google-colab kaggle-kernels nlp-profiler profiling-datasets grammar-checks
  • Updated Jan 21, 2022
  • Python

jojonki / arXivNotes

Sponsor
Star 196

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

nlp natural-language-processing summary dialogue-systems conversational-agents natural-language-understanding arxivtimes
  • Updated Nov 15, 2019

gionanide / Speech_Signal_Processing_and_Classification

Star 196

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance
  • Updated Dec 6, 2021
  • Python

cbaziotis / datastories-semeval2017-task4

Star 192

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

nlp twitter deep-learning sentiment-analysis neural-network word-embeddings keras embeddings lstm attention deeplearning glove computational-linguistics semeval attention-mechanism keras-models nlp-machine-learning twitter-messages semeval-sentiment
  • Updated Jun 8, 2018
  • Python

Fixy-TR / fixy

Star 188

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

python nlp data-science natural-language-processing ai deep-learning neural-network keras artificial-intelligence neural-networks deeplearning bert acikhack2
  • Updated Oct 5, 2020
  • Jupyter Notebook

gmihaila / ml_things

Star 185

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

nlp snippets machine-learning pytorch transformer python-snippets notebooks nlp-machine-learning google-colab
  • Updated Apr 6, 2022
  • Jupyter Notebook
NLP-Natural-Language-Processing

ElizaLo / NLP-Natural-Language-Processing

Star 184

Projects and useful articles / links

nlp machine-learning natural-language-processing awesome deep-learning paper natural-language awesome-list articles coursera-machine-learning nlp-resources nlp-library nlp-machine-learning coursera-data-science natural-language-understanding coursera-course naturallanguageprocessing google-colaboratory awesome-nlp awesome-natural-language-processing
  • Updated Nov 28, 2022
  • Jupyter Notebook

microsoft / vert-papers

Star 182

This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).

nlp entity-resolution ml named-entity-recognition ner nlp-resources entity-linking unitrans entity-extraction grn entity-disambiguation language-understanding linkingpark bertel can-ner xl-ner cross-lingual-ner
  • Updated Nov 22, 2022
  • Python

amanchadha / coursera-natural-language-processing-specialization

Star 174

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

nlp machine-learning natural-language-processing course deep-learning sentiment-analysis natural-language word-embeddings coursera artificial-intelligence deeplearning nlp-machine-learning specialization natural-language-understanding assignments coursera-assignment word-vectors deeplearning-ai coursera-specialization
  • Updated Oct 22, 2022
  • Jupyter Notebook

Psarpei / Multi-Type-TD-TSR

Star 174

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

nlp computer-science machine-learning natural-language-processing ocr computer-vision deep-learning algorithms machine-learning-algorithms image-processing nlp-machine-learning ocr-recognition computer-vision-algorithms ocr-python table-detection computer-vision-opencv table-detection-using-deep-learning table-structure-recognition
  • Updated Sep 5, 2022
  • Jupyter Notebook

tlatkowski / multihead-siamese-nets

Sponsor
Star 173

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

nlp natural-language-processing deep-neural-networks deep-learning tensorflow text-similarity python3 attention semantic-similarity snli paraphrase deep-architectures sentence-similarity paraphrase-identification quora-question-pairs siamese-lstm siamese-neural-network multihead-attention siamese-cnn multihead-attention-networks
  • Updated Nov 21, 2022
  • Jupyter Notebook

milaan9 / Python_Natural_Language_Processing

Star 169

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

nlp ipython-notebook named-entity-recognition bag-of-words tf-idf stopwords tokenization stemming lemmatization sentence-segmentation termfrequency partofspeech-tagger vocabulary-matching python4everybody python4datascience tutor-milaan9 inversedocumentfrequency
  • Updated Jul 4, 2022
  • Jupyter Notebook

dccuchile / wefe

Star 161

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

nlp library word-embeddings python3 nlp-library bias-reduction bias-detection fairness-ai fairness-ml word-embedding-evaluation word-embedding-fairness
  • Updated Nov 7, 2022
  • Python

Anwarvic / Dan-Jurafsky--Chris-Manning--NLP

Star 152

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

nlp parser information-retrieval parsing sentiment-analysis text-classification regular-expression information-extraction named-entity-recognition question-answering text-processing regular-expressions ner nlp-machine-learning sentiment-classification cky autocorrection autocorrector cky-algorithm cky-parser
  • Updated Oct 4, 2018
  • Java

opensemanticsearch / open-semantic-entity-search-api

Star 145

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

python nlp api semantic natural-language-processing reconciliation linked-data rest-api thesaurus named-entities disambiguation knowledge-graph named-entity-recognition knowledgebase reconciliation-service semantic-analysis linkeddata semantic-annotation entity-extraction linked-data-api
  • Updated Oct 9, 2022
  • Python

Created by Alan Turing

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